Home > Seminars > A Control-Theoretic Approach to Network Science: Cyber-Physical Security, and Network Controllability

A Control-Theoretic Approach to Network Science: Cyber-Physical Security, and Network Controllability

Start:

9/10/2014 at 4:00PM

End:

9/10/2014 at 5:00PM

Location:

201 DeBartolo Hall

Host:

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Vijay Gupta

Vijay Gupta

VIEW FULL PROFILE Email: vgupta2@nd.edu
Phone: 574-631-2294
Website: http://ee.nd.edu/faculty/vgupta/
Office: 270 Fitzpatrick Hall

Affiliations

Department of Electrical Engineering Professor and Associate Chair of Graduate Studies
Research Interests: Dr. Gupta's current research interests are in the analysis and design of cyberphysical systems. Such systems are the next generation of engineering systems and involve tightly coupled control, communication, and processing algorithms. Applications include structural health ...
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Network science is an interdisciplinary research area that focuses on dynamic processes over networks. Network science problems arise in several domains including sensor and actuator networks, robotics, social networks, and biological systems. The main objectives are to analyze, predict, and control complex behaviors over networks. In this talk I will discuss two problems in network science, namely cyber-physical security and network controllability. Regarding cyber-physical security, I will discuss a control-theoretic framework for cyber-physical systems and attacks, I will present fundamental attack detection limitations, and I will design attack detection monitors. Regarding the problem of controlling complex networks, I will present metrics to quantify network controllability, bounds on the number of control nodes to ensure a certain controllability degree, and a distributed control strategy with performance guarantees.

Seminar Speaker:

Fabio Pasqualetti

Fabio Pasqualetti

University of California, Riverside

Fabio Pasqualetti is an Assistant Professor in the Department of Mechanical Engineering, University of California, Riverside. He completed a Doctor of Philosophy degree in Mechanical Engineering at the University of California, Santa Barbara, in 2012, a Laurea Magistrale degree (M.Sc. equivalent) in Automation Engineering at the University of Pisa, Italy, in 2007, and a Laurea degree (B.Sc. equivalent) in Computer Engineering at the University of Pisa, Italy, in 2004. His main research interest is in secure control systems, with application to multi-agent networks, distributed computing, and power networks. Other interests include vehicle routing and combinatorial optimization, with application to distributed area patrolling and persistent surveillance, and computational neuroscience.